Results 91 to 100 of about 16,351 (263)
Uncertainty quantification for misspecified machine learned interatomic potentials
npj Computational MaterialsThe use of high-dimensional regression techniques from machine learning has significantly improved the quantitative accuracy of interatomic potentials. Atomic simulations can now plausibly target quantitative predictions in a variety of settings, which ...
Danny Perez +3 more
doaj +1 more source
Convex Models, MLS and Misspecification
The Annals of Statistics, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
International Journal of Eating Disorders, EarlyView.ABSTRACT Objective This study aimed to assess the structural validity and readability of a brief 7‐item version of the Eating Disorder Examination Questionnaire (the EDE‐Q7) among adolescents. Method Latent variable analysis was used in a sample of 263 adolescents (age range = 13–17.99y) diagnosed with an eating disorder and recruited from treatment ...
Paul E. Jenkins +7 more
wiley +1 more source
Acta Universitatis Lodziensis. Folia Oeconomica, 2014 The aim of this paper is to evaluate the spatial and hierarchical models for data generating processes with spatial heterogeneity and spatial dependence at the higher level.
Edyta Łaszkiewicz
doaj
The Structure of Informal Learning in the Workplace—An Experience Sampling Approach
Human Resource Development Quarterly, EarlyView.ABSTRACT This paper complements retrospective approaches to researching informal learning in the workplace with experience sampling. Since (conscious) informal learning is becoming increasingly important for successfully keeping pace with rapid changes in working environments, a clear understanding of the construct and its precise measurement are ...
Katja Häußermann, Tina Seufert
wiley +1 more source
Household Consumption Intentions by Income Group During Monetary Policy Easing and Tightening
International Journal of Finance &Economics, EarlyView.ABSTRACT We investigate how the monetary policy interest rate affects Brazilian households' consumption intentions under two distinct regimes: monetary easing and tightening cycles. Using data from low‐ and high‐income households, we assess both the magnitude and the dynamics of this relationship.
Helder Ferreira de Mendonça +1 more
wiley +1 more source
Journal of Applied Econometrics, EarlyView.ABSTRACT The effects of monetary policy shocks are regularly estimated using high‐frequency surprises in asset prices around central bank meetings as an instrument. These studies, insofar as they explicitly model the relationship between instrument and structural shock, assume a constant relationship between the instrument and the monetary policy shock.
Pooyan Amir‐Ahmadi +2 more
wiley +1 more source
A Joint Test of Unconfoundedness and Common Trends
Journal of Applied Econometrics, EarlyView.ABSTRACT We introduce an overidentification test of two alternative assumptions to identify the average treatment effect on the treated in a two‐period panel data setting: unconfoundedness and common trends. Under unconfoundedness, treatment assignment and post‐treatment outcomes are independent, conditional on control variables and pre‐treatment ...
Martin Huber, Eva‐Maria Oeß
wiley +1 more source
BMC Medical Research MethodologyBackground In multi-site studies in clinical practice, the treatment effects may exhibit potential heterogeneity across different sites. Additionally, propensity score methods used to adjust for confounding may suffer from model misspecification, which ...
Chen Huang +3 more
doaj +1 more source
Journal of Applied Econometrics, EarlyView.ABSTRACT While existing work shows COVID‐19 stay‐at‐home (SAH) policies decreased mobility on average, we lack evidence regarding heterogeneity in policy effectiveness across US counties. To uncover potential heterogeneity, we implement a novel two‐stage approach.
James Sears +5 more
wiley +1 more source